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Update README.md

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Dimitrii Voronin
2021-02-05 17:13:18 +02:00
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@@ -328,6 +328,7 @@ Since our VAD (only VAD, other networks are more flexible) was trained on chunks
- `num_steps` - nubmer of overlapping windows to split audio chunk into (we recommend 4 or 8)
- `num_samples_per_window` - number of samples in each window, our models were trained using `4000` samples (250 ms) per window, so this is preferable value (lesser values reduce [quality](https://github.com/snakers4/silero-vad/issues/2#issuecomment-750840434));
- `min_speech_samples` - minimum speech chunk duration in samples
- `min_silence_samples` - minimum silence duration in samples between to separate speech chunks
Optimal parameters may vary per domain, but we provided a tiny tool to learn the best parameters. You can invoke `speech_timestamps` with visualize_probs=True (`pandas` required):